Despite the success of deep learning models for the state-of-health estimation of lithium-ion batteries in battery management systems, their susceptibility to adversarial attacks raises concerns about security risks, leading to misdiagnosis and unnec... read more
The aim of this study was to investigate the utility of a multisource cross-modal Transformer (MC-Trans) model in predicting primary resistance to third-generation epidermal growth factor receptor tyrosine kinase inhibitors (3rd-EGFR-TKIs) in patient... read more
Hybrid Single Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) improves lesion localization and diagnostic accuracy in detecting skeletal metastases. However, interpretation based on standardized uptake value (SUV) remains suboptima... read more
Recovery from knee replacement surgery in conventional orthopaedic healthcare systems can be delayed due to high costs, pain, limited monitoring, and insufficient follow-up, which may hinder early detection of poor healing and inflammation. This stud... read more
Inflammation research : official journal of the European Histamine Research Society ... [et al.]
Apr 17, 2026
BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare burden. Pain mechanisms in CP are heterogeneous and incompletely integrated into clinical decision-maki... read more
Artificial neural networks (ANNs) are utilized to study the buoyancy-driven electroosmotic flow conveying Blood, Gold (Au), Copper (Cu), and Multi-Walled Carbon Nanotubes in convergent ciliated tube (CCT) and divergent ciliated tube (DCT) micro-vesse... read more
Artificial intelligence (AI) is an accurate screening tool for diabetic retinopathy (DR), the leading cause of blindness among working-aged adults. However, its impact on referral uptake is uncertain. We searched Embase, MEDLINE, Scopus, Web of Scien... read more
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